PLoS ONE (Jan 2021)

Factors associated with oral pain and oral health-related productivity loss in the USA, National Health and Nutrition Examination Surveys (NHANES), 2015-2018.

  • Muath Aldosari,
  • Suellen da Rocha Mendes,
  • Ahad Aldosari,
  • Abdullah Aldosari,
  • Mauro Henrique Nogueira Guimarães de Abreu

DOI
https://doi.org/10.1371/journal.pone.0258268
Journal volume & issue
Vol. 16, no. 10
p. e0258268

Abstract

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BackgroundOur aim was to identify clinical and sociodemographic factors associated with oral pain and oral health-related productivity loss among US adults.MethodsWe included adults aged ≥30 years who completed the dental examination, had at least one natural tooth, and provided an answer about their oral pain experience or oral health-related productivity loss in the 2015-2018 National Health and Nutrition and Examination Survey (NHANES). We performed descriptive analyses and multivariable binary logistic regression analyses on weighted data.ResultsOne out of four adults had oral pain and 4% reported oral health-related productivity loss occasionally or often within the last year of the survey. The odds of oral pain were higher among non-Hispanic black (OR = 1.35; 95%CI = 1.08-1.62) and non-Hispanic Asian individuals (OR = 1.38; 95%CI = 1.07-1.78) compared to non-Hispanic white individuals, and individuals with untreated dental caries (OR = 2.06; 95%CI = 1.72-2.47). The odds for oral health-related productivity loss were 13.85 times higher among individuals who reported oral pain (95%CI = 8.07-23.77), and 2.18 times higher among individuals with untreated dental caries (95%CI = 1.65-2.89). The odds of oral pain and reported oral health-related productivity loss decreased as family income increased.ConclusionsFactors including non-Hispanic black race/ethnicity, lower socio-economic status, and untreated dental caries are associated with oral pain experience, which increases the odds of oral health-related productivity losses. Identifying factors associated with oral pain and productivity loss will enable clinicians, policymakers, and employers to proactively target and prioritize the higher-risk groups in early interventions and policies.